MarketContent delivery network
Company Profile

Content delivery network

A content delivery network (CDN) or content distribution network is a geographically distributed network of proxy servers and corresponding data centers. CDNs provide high availability and performance ("speed") through geographical distribution relative to end users, and arose in the late 1990s to alleviate the performance bottlenecks of the Internet as it was becoming a critical medium. Since then, CDNs have grown to serve a large portion of Internet content, including text, graphics and scripts, downloadable objects, applications, live streaming media, on-demand streaming media, and social media services.

Technology
CDN nodes are usually deployed in multiple locations, often over multiple Internet backbones. Benefits include reducing bandwidth costs, improving page load times, and increasing the global availability of content. The number of nodes and servers making up a CDN varies, depending on the architecture, some reaching thousands of nodes with tens of thousands of servers on many remote points of presence (PoPs). Others build a global network and have a small number of geographical PoPs. Requests for content are typically algorithmically directed to nodes that are optimal in some way. When optimizing for performance, locations that are best for serving content to the user may be chosen. This may be measured by choosing locations that are the fewest hops or the shortest time to the requesting client, or the highest server performance, to optimize delivery across local networks. When optimizing for cost, locations that are the least expensive may be chosen instead. In an optimal scenario, these two goals tend to align, as edge servers that are close to the end user at the edge of the network may have an advantage in performance and cost. Most CDN providers will provide their services over a varying, defined, set of PoPs, depending on the coverage desired, such as United States, Asia-Pacific, International or Global, etc. These sets of PoPs can be called "edges", "edge nodes", "edge servers", or "edge networks" as they would be the closest edge of CDN assets to the end user. CDN concepts: • Content Provider Origin Server: the web server providing the source content • CDN entry point(s): the servers within the CDN that fetch the content from the origin • CDN Origin Shield: the CDN service helping to protect the origin server in case of heavy traffic • CDN Edge Servers: the CDN servers serving the content request from the clients • CDN footprint: the geographic areas where the CDN Edge Servers can effectively serve clients requests • CDN selector: in the context of multi-CDN, a decision making service to choose among multiple CDNs • CDN offloading: in the context of Peer-to-Peer CDN, a mechanism to help deliver the content between clients who are consuming it, in addition to CDN Edge Server delivery == Security and privacy ==
Security and privacy
CDN providers profit either from direct fees paid by content providers using their network, or profit from the user analytics and tracking data collected as their scripts are being loaded onto customers' websites inside their browser origin. As such these services are being pointed out as potential privacy intrusions for the purpose of behavioral targeting and solutions are being created to restore single-origin serving and caching of resources. In particular, a website using a CDN may violate the EU's General Data Protection Regulation (GDPR). For example, in 2021 a German court forbade the use of a CDN on a university website, because this caused the transmission of the user's IP address to the CDN, which violated the GDPR. CDNs serving JavaScript have also been targeted as a way to inject malicious content into pages using them. Subresource Integrity mechanism was created in response to ensure that the page loads a script whose content is known and constrained to a hash referenced by the website author. == Content networking techniques ==
Content networking techniques
The Internet was designed according to the end-to-end principle. This principle keeps the core network relatively simple and moves the intelligence as much as possible to the network end-points: the hosts and clients. As a result, the core network is specialized, optimized, and simplified to only forward data packets. Content Delivery Networks extend the transport network by distributing on it a variety of intelligent applications employing techniques designed to optimize content delivery. The resulting tightly integrated overlay uses web caching, server-load balancing, request routing, and content services. Web caches store popular content on servers that have the greatest demand for the content requested. These shared network appliances reduce bandwidth requirements, reduce server load, and improve the client response times for content stored in the cache. Web caches are populated based on requests from users (pull caching) or based on preloaded content disseminated from content servers (push caching). Server-load balancing uses one or more techniques including service-based (global load balancing) or hardware-based (i.e. layer 4–7 switches, also known as a web switch, content switch, or multilayer switch) to share traffic among a number of servers or web caches. Here the switch is assigned a single virtual IP address. Traffic arriving at the switch is then directed to one of the real web servers attached to the switch. This has the advantage of balancing load, increasing total capacity, improving scalability, and providing increased reliability by redistributing the load of a failed web server and providing server health checks. A content cluster or service node can be formed using a layer 4–7 switch to balance load across a number of servers or a number of web caches within the network. Request routing directs client requests to the content source best able to serve the request. This may involve directing a client request to the service node that is closest to the client, or to the one with the most capacity. A variety of algorithms are used to route the request. These include Global Server Load Balancing, DNS-based request routing, Dynamic metafile generation, HTML rewriting, and anycasting. Proximity—choosing the closest service node—is estimated using a variety of techniques including reactive probing, proactive probing, and connection monitoring. to provide an open standard for connecting application servers. A more recently defined and robust solution is provided by the Open Pluggable Edge Services (OPES) protocol. This architecture defines OPES service applications that can reside on the OPES processor itself or be executed remotely on a Callout Server. Edge Side Includes or ESI is a small markup language for edge-level dynamic web content assembly. It is fairly common for websites to have generated content. It could be because of changing content like catalogs or forums, or because of the personalization. This creates a problem for caching systems. To overcome this problem, a group of companies created ESI. Peer-to-peer CDNs In peer-to-peer (P2P) content-delivery networks, clients provide resources as well as use them. This means that, unlike client–server systems, the content-centric networks can actually perform better as more users begin to access the content (especially with protocols such as Bittorrent that require users to share). This property is one of the major advantages of using P2P networks because it makes the setup and running costs very small for the original content distributor. To incentive peers to participate in the P2P network, web3 and blockchain technologies can be used: participating nodes receive crypto tokens in exchange of their involvement. Private CDNs If content owners are not satisfied with the options or costs of a commercial CDN service, they can create their own CDN. This is called a private CDN. A private CDN consists of PoPs (points of presence) that are only serving content for their owner. These PoPs can be caching servers, reverse proxies or application delivery controllers. It can be as simple as two caching servers, When a private CDN is deployed within a company network, it is also referred as Entreprise CDN or eCDN. Large content distribution networks may even build and set up their own private network to distribute copies of content across cache locations. Such private networks are usually used in conjunction with public networks as a backup option in case the capacity of the private network is not enough or there is a failure which leads to capacity reduction. Since the same content has to be distributed across many locations, a variety of multicasting techniques may be used to reduce bandwidth consumption. Over private networks, it has also been proposed to select multicast trees according to network load conditions to more efficiently utilize available network capacity. == CDN trends ==
CDN trends
Emergence of telco CDNs The rapid growth of streaming video traffic required large capital expenditures by broadband providers in order to meet this demand and retain subscribers by delivering a sufficiently good quality of experience. To address this, telecommunications service providers have begun to launch their own content delivery networks as a means to lessen the demands on the network backbone and reduce infrastructure investments. Telco CDN advantages Because they own the networks over which video content is transmitted, telco CDNs have advantages over traditional CDNs. They own the last mile and can deliver content closer to the end-user because it can be cached deep in their networks. This deep caching minimizes the distance that video data travels over the general Internet and delivers it more quickly and reliably. Telco CDNs also have a built-in cost advantage since traditional CDNs must lease bandwidth from them and build the operator's margin into their own cost model. In addition, by operating their own content delivery infrastructure, telco operators have better control over the utilization of their resources. Content management operations performed by CDNs are usually applied without (or with very limited) information about the network (e.g., topology, utilization etc.) of the telco-operators with which they interact or have business relationships. These pose a number of challenges for the telco-operators who have a limited sphere of action in face of the impact of these operations on the utilization of their resources. In contrast, the deployment of telco-CDNs allows operators to implement their own content management operations, which enables them to have a better control over the utilization of their resources and, as such, provide better quality of service and experience to their end users. Federated CDNs and Open Caching In June 2011, StreamingMedia.com reported that a group of TSPs had founded an Operator Carrier Exchange (OCX) to interconnect their networks and compete more directly against large traditional CDNs like Akamai and Limelight Networks, which have extensive PoPs worldwide. This way, telcos are building a Federated CDN offering, which is more interesting for a content provider willing to deliver its content to the aggregated audience of this federation. It is likely that in a near future, other telco CDN federations will be created. They will grow by enrollment of new telcos joining the federation and bringing network presence and their Internet subscriber bases to the existing ones. The Open Caching specification by Streaming Video Technology Alliance defines a set of APIs that allows a Content Provider to deliver its content using several CDNs in a consistent way, seeing each CDN provider the same way through these APIs. Multi CDN and CDN selection Combining several CDN services allow Content Providers to not rely on a single CDN service, especially concerned to deal with high peak audience during live events. There are several ways to allocate traffic to a particular CDN among the list, either client-side CDN selection, or server-side (at the Content Provider's origin) or cloud-side (in the middle, between the content origin and the audience). CDN selection criteria can be performance, availability and cost. Improving CDN performance using Extension Mechanisms for DNS , which is intended to accurately localize DNS resolution responses. The initiative involves a limited number of leading DNS service providers, such as Google Public DNS, and CDN service providers as well. With the edns-client-subnet EDNS0 option, CDNs can now utilize the IP address of the requesting client's subnet when resolving DNS requests. This approach, called end-user mapping, CDN using non-HTTP delivery To boost performance, delivery to clients from servers can use alternate non-HTTP protocols such as WebRTC and WebSockets. Image Optimization and Delivery (Image CDNs) In 2017, Addy Osmani of Google started referring to software solutions that could integrate naturally with the Responsive Web Design paradigm (with particular reference to the element) as Image CDNs. The expression referred to the ability of a web architecture to serve multiple versions of the same image through HTTP, depending on the properties of the browser requesting it, as determined by either the browser or the server-side logic. The purpose of Image CDNs was, in Google's vision, to serve high-quality images (or, better, images perceived as high-quality by the human eye) while preserving download speed, thus contributing to a great User experience (UX). Arguably, the Image CDN term was originally a misnomer, as neither Cloudinary nor Imgix (the examples quoted by Google in the 2017 guide by Addy Osmani) were, at the time, a CDN in the classical sense of the term. or integrating with one of the existing CDNs (Cloudinary/Akamai, Imgix/Fastly). While providing a universally agreed-on definition of what an Image CDN is may not be possible, generally speaking, an Image CDN supports the following three components: • A Content Delivery Network (CDN) for the fast serving of images. • Image manipulation and optimization, either on-the-fly through URL directives, in batch mode (through manual upload of images) or fully automatic (or a combination of these). • Device Detection (also known as Device Intelligence), i.e. the ability to determine the properties of the requesting browser and/or device through analysis of the User-Agent string, HTTP Accept headers, Client-Hints or JavaScript. == Content delivery service and technology providers ==
Content delivery service and technology providers
Commercial or free software vendors (build your own CDN) Ateme • BlazingCDN • BroadpeakGcore • Go-Fast CDN • NginxVarnish SoftwareVecima Networks • Velocix (spin off Nokia) Free-as-a-Service cdnjsCloudflareJSDelivr Commercial-as-a-Service • 5centsCDN • Akamai TechnologiesAlibaba CloudAmazon CloudFrontComcast Technology SolutionsEdgeCast Cloud Services (Pulse) • FastlyGcore • GlobalConnect • Google Cloud CDNHuawei Cloud • Jet-Stream Cloud • KeyCDN • Kingsoft Cloud • MainStreaming • Medianova • Microsoft Azure Front Door • Netskrt • Ngenix • Ora Streaming (Varnish Software Group) • OVHcloud • ProCDN.net • Qwilt • Tata CommunicationsTencent CloudWangsu Science & Technology Others AryakaCenterServ In-house TF1BBCNetflix == See also ==
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